National income dynamics: unveiling the impact of households' consumption during crisis and innovation era

Purpose The main purpose of this study is to examine the impact of selected macroeconomic indicators, crises and innovation on national income dynamics, focusing on the changes driven by household consumption behaviour during the recent crisis and innovation era. Design/methodology/approach The study employed the Autoregressive Distributed Lag (ARDL) bound testing approach to investigate the relationships between macroeconomic factors, household consumption, crises and innovation, assessing both short-term and long-term effects on national income fluctuations. Findings The findings indicate that macroeconomic factors, including household consumption, significantly influence national income dynamics. Crises, such as the pandemic and economic downturns, played a critical role in driving fluctuations in national income. Meanwhile, innovation was found to promote national income growth in the short term. However, no long-term relationship was observed, suggesting that the quality of innovation, rather than its quantity, is vital for sustaining national income growth over time. Originality/value Unlike studies in the past, this study will explore the joint effects of macroeconomic factors, crises and innovation in shaping national income dynamics. This allows it not just to underscore the importance of focusing on macroeconomic factors and high-quality innovation to achieve sustainable economic growth but also to offer a nuanced understanding of how crises influence national income patterns.

Authors

Institutions

Publication Details

Journal
Journal of economic and administrative sciences.
Published
2026-02-14
DOI
https://doi.org/10.1108/jeas-12-2024-0509
Primary Topic
COVID-19 Pandemic Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

National income dynamics: unveiling the impact of households' consumption during crisis and innovation era

Faerozh Madli, Siti Hajar Samsu, Harpaljit Kaur, Saizal Pinjaman et al.
Journal of economic and administrative sciences.
COVID-19 Pandemic Impacts
article

National income dynamics: unveiling the impact of households' consumption during crisis and innovation era

Faerozh Madli, Siti Hajar Samsu, Harpaljit Kaur, Saizal Pinjaman, Sing Yun Wong
article en

Abstract

Purpose The main purpose of this study is to examine the impact of selected macroeconomic indicators, crises and innovation on national income dynamics, focusing on the changes driven by household consumption behaviour during the recent crisis and innovation era. Design/methodology/approach The study employed the Autoregressive Distributed Lag (ARDL) bound testing approach to investigate the relationships between macroeconomic factors, household consumption, crises and innovation, assessing both short-term and long-term effects on national income fluctuations. Findings The findings indicate that macroeconomic factors, including household consumption, significantly influence national income dynamics. Crises, such as the pandemic and economic downturns, played a critical role in driving fluctuations in national income. Meanwhile, innovation was found to promote national income growth in the short term. However, no long-term relationship was observed, suggesting that the quality of innovation, rather than its quantity, is vital for sustaining national income growth over time. Originality/value Unlike studies in the past, this study will explore the joint effects of macroeconomic factors, crises and innovation in shaping national income dynamics. This allows it not just to underscore the importance of focusing on macroeconomic factors and high-quality innovation to achieve sustainable economic growth but also to offer a nuanced understanding of how crises influence national income patterns.

Journal of economic and administrative sciences.
Universiti of Malaysia Sabah (MY), Taylor's University (MY)
Decent work and economic growth
Openalex Percentile: Top 61%
COVID-19 Pandemic Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.